Job Description & How to Apply Below
About Senzcraft:
Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.
We have a suite of SaaS products and services, partnering with automation product companies.
Please visit our website - for more details
Our AI Operations SaaS platform – (Use the "Apply for this Job" box below). Ops.ai
Senzcraft on linkedin ->
Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.
Senzcraft is Hiring Lead Data Engineer / Data Architect (FSLDM & Data Lakehouse)
Location :
Bangalore(Hybrid)
Project: International Financial Data Lakehouse Program
Experience:
10+ Years (5+ Years Relevant)
Teradata Vantage Cloud Lake is Teradata’s modern data lakehouse platform and can be deployed on AWS, Azure, or Google Cloud. Candidates can have experience in any major cloud platform.
About the Opportunity:
Senzcraft is looking for a seasoned Lead Data Engineer / Architect to drive the design and implementation of a modern Financial Data Lakehouse for a large international banking program. This is a high-visibility role where you will transform complex financial data into a scalable, high-performance Lakehouse architecture that supports enterprise BI, regulatory reporting, and advanced analytics.
Key Responsibilities
• Data Modeling:
Lead the implementation and customization of the Teradata FSLDM (Financial Services Logical Data Model) to ensure it meets the specific needs of the Lakehouse program.
• Architecture Design:
Design and maintain the Data Lakehouse layers (Bronze/Silver/Gold or Raw/Integrated/Access) to support massive scales of f inancial data.
• ETL/ELT Development:
Architect and develop robust data pipelines using Informatica (Power Center or IICS) to migrate data from disparate sources into Teradata and the Lakehouse environment.
• Performance Tuning:
Optimize Teradata SQL and Informatica mappings for high volume data processing and complex financial calculations.
• Data Governance:
Ensure compliance with financial regulations by implementing data lineage, quality checks, and metadata management within the FSLDM framework.
• Stakeholder
Collaboration:
Work closely with Business Analysts and Data Scientists to translate financial business requirements into scalable technical schemas.
Technical Requirements
• Core Model:
Expert-level knowledge of FSLDM (Financial Services Logical Data Model) is mandatory.
• Primary Database:
Extensive experience with Teradata (Vantage, Architecture, Utilities like BTEQ, Fast Load, Multi Load).
• Integration Tools:
Advanced proficiency in Informatica (Power Center/Informatica Intelligent Cloud Services).
• Lakehouse
Experience:
Proven experience in building or maintaining Data Lakehouse architectures (combining the flexibility of data lakes with the performance of data warehouses).
• Domain Knowledge:
Strong understanding of Banking/Financial Services domains (Risk, Finance, Regulatory Reporting, or Retail Banking).
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